CN107393199A - Storage cabinet system and its application method based on mobile phone terminal recognition of face - Google Patents
Storage cabinet system and its application method based on mobile phone terminal recognition of face Download PDFInfo
- Publication number
- CN107393199A CN107393199A CN201710539778.3A CN201710539778A CN107393199A CN 107393199 A CN107393199 A CN 107393199A CN 201710539778 A CN201710539778 A CN 201710539778A CN 107393199 A CN107393199 A CN 107393199A
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- China
- Prior art keywords
- face
- work attendance
- employee
- data
- recognition
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Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
Abstract
The present invention relates to locker technical field, specially a kind of storage cabinet system and its application method based on mobile phone terminal recognition of face.A kind of storage cabinet system based on mobile phone terminal recognition of face, including the locker with central controller, work attendance server on the locker, touch display screen, cell phone end, the first card reader being arranged on by metal detection door, it is arranged on the second card reader and employee job card of storing part porch；The locker includes multiple small cabinets, each small cabinet is provided with the first electronic lock and the second electronic lock, first electronic lock of the small cabinet is opened by the central controller controls, and second electronic lock of the small cabinet is opened by employee's card control.The locker of the present invention integrates the function of storing and work attendance, and improve employee enters factory's efficiency, and can reduce security staff, saves human resources, and carries out storing work attendance by recognition of face in the range of work attendance, is less prone to cheating.
Description
Technical field
The present invention relates to locker technical field, specially a kind of storage cabinet system based on mobile phone terminal recognition of face and its
Application method.
Background technology
The factory of Present Global labour intensive, worker need to be lined up strict safety check, are then turned on storing up before producing line is entered
Thing cabinet takes out the work necessity such as antistatic clothing, after placing the personal effects such as the mobile phone of oneself, then is entered by metal detection door
Producing line, if carrying locker key with it, it may be desirable to expend the regular hour.There are following several sides during safety check
Formula：After employee is lined up brush employee job card, security personnel's observation face and photo, which needs to be lined up and time and effort consuming is inaccurate；Or
After employee is lined up brush employee job card, I is examined by brush finger line again or recognition of face, needs also exist for being lined up time and effort consuming.
The content of the invention
A kind of the problem of present invention exists for prior art, it is proposed that storage cabinet system based on mobile phone terminal recognition of face
And its application method, locker integrate the function of storing and work attendance, employee, with regard to that can accomplish work attendance, is not required to while storing
It is lined up into factory, improve employee enters factory's efficiency, and can reduce security staff, saves human resources, and in work attendance scope
It is interior that storing work attendance is carried out by recognition of face, it can effectively ensure that employee shows up really, be less prone to cheating.
The technical solution adopted for the present invention to solve the technical problems is：A kind of locker based on mobile phone terminal recognition of face
System, including the locker with central controller, the work attendance server on the locker, touch display screen, move
Start generator terminal, the first card reader being arranged on by metal detection door, be arranged on the second card reader and the member of storing part porch
Work card；
The locker includes multiple small cabinets, and each small cabinet is provided with the first electronic lock and the second electronic lock, described small
First electronic lock of cabinet is opened by the central controller controls, and second electronic lock of the small cabinet is by described
Employee's card control is opened；
The touch display screen is used for the quantity for showing the hollow small cabinet of the locker；
The work attendance server is provided with work attendance scope, the cell phone end in the range of the work attendance with the work attendance server
Wireless connection, the work attendance server are electrically connected with the central controller；
The cell phone end is including the mobile phone camera for being used to gather employee's facial image and installation and operation in the mobile hand
Attendance application software in generator terminal, the attendance application software are used to after the facial image collected is converted into view data send out
Give the work attendance server；
The work attendance server is used to receive described image data, and by described image data and is pre-stored in the work attendance server
In view data contrast to complete recognition of face, the work attendance server also with the central controller, the first card reader,
And second card reader be electrically connected with.
Preferably, the storage cabinet system also includes the cloud server being connected with the work attendance server, the cloud
End server is used to receive the described image data that the work attendance server is sent, and by described image data and is pre-stored in described
Employee's human face image information in cloud server is contrasted to complete recognition of face, the cloud server also with the center
Controller, cell phone end, the first card reader and the second card reader are electrically connected with.
Preferably, the storage cabinet system also includes the standby man face image acquiring dress being arranged on the locker
Put, the standby human face image collecting device is connected with the work attendance server, and the touch display screen is additionally operable to input employee
Job number to enable the standby human face image collecting device.
Preferably, the storage cabinet system also includes the swiping card equipment being arranged on the locker, described swipe the card sets
It is ready for use on the cabinet number for inquiring about the small cabinet that corresponding employee is used.
The application method of storage cabinet system based on mobile phone terminal recognition of face, comprises the following steps,
Step a1, employee enter storing part, locker of the selection with empty small cabinet, pass through cell phone in the range of work attendance
End and the work attendance server wireless connection on storage cabinet；
Step a2, open the attendance application software on cell phone end, by the mobile phone camera on cell phone end gather to
Few two face pictures, and by attendance application software by the facial image collected be converted into being sent to after view data described
Work attendance server；
Step a3, the work attendance server receives described image data, and by described image data and is pre-stored in the work attendance clothes
View data in business device is contrasted to complete recognition of face, and face recognition result is sent into central controller；
Or view data is sent to the cloud server by the work attendance server, the cloud server is by described image
Data are contrasted to complete recognition of face with the employee's human face image information being pre-stored in the cloud server, and face is known
Other result is sent to central controller；
Step a4, if recognition of face success, the central controller chooses corresponding with employee or any one small cabinet, beats
The first electronic lock of corresponding small cabinet is opened, the cabinet number of corresponding small cabinet is returned into shifting by work attendance server or cloud server
Start generator terminal, and the operation information is sent to the first card reader by relevant work personnel, and enter next step；
If recognition of face is unsuccessful, the central controller returns to recognition result by work attendance server or cloud server
Cell phone end, staff need to use the card reader of employee job card brush second or by face authentification device carry out face recognition with
Storing part is exited to ask for help；
No matter whether staff carries out recognition of face and whether recognition of face succeeds, and staff is both needed to after entering storing part
Face recognition is carried out to exit storing part using the card reader of employee job card brush second or by face authentification device, wherein, it is described
Attendance information between face authentification device, first card reader, second card reader is shared；
Step a5, staff open the second electronic lock of small cabinet by employee job card within a certain period of time, deposit and phase of taking
The cabinet door of small cabinet is closed after the article answered, the operation information of relevant work personnel is sent to by the central controller
One card reader；
Step a6, staff enter production district using the card reader of employee job card brush first, and using the charge time as employee on
The work attendance time of class；If the information of the first card reader institute brush employee job card was not received in step a4 or step a5, the
One card reader alert；
Step a7, when employee comes off duty, directly by employee job card brush, small cabinet can just be opened the cabinet door of small cabinet accordingly, storage
And close the cabinet door of small cabinet after corresponding article of taking, can be with and using the card reader of employee job card brush second to go out storing part
The time that employee is brushed to corresponding small cabinet brushes the time of the second card reader as next as the next work attendance time, or using employee
The work attendance time.
Preferably, the step a2 is specifically, facial image is converted into three-dimensional tensor number by the attendance application software
According to, and three-dimensional tensor data are compressed to obtain compressed data by data compression model；
The step a3 is specifically, compressed data solution is pressed into three-dimensional tensor number by the work attendance server by data recovery model
According to, and three-dimensional tensor data and the view data being pre-stored in the work attendance server are contrasted to complete recognition of face；
Or compressed data solution is pressed into three-dimensional tensor data by the work attendance server by data recovery model, and three-dimensional is opened
Amount data are sent to cloud server.
Preferably, the data compression model is, wherein, T* is facial image
The three-dimensional tensor data of conversion,（X_1, X_2,…,X_n）For the Gauss tensor of the n same dimension randomly generated,<T*, X_
i>For T* and one of Gauss tensor X_i inner product, e_i is the generation error in transmission every time, (y_1, y_2 ..y_n)
The compressed data received for work attendance server.
Preferably, the three-dimensional tensor data T* in data compression model is decomposed to obtain,
The X_i stated in data compression model is decomposed to obtain, to obtain the decomposing shape of data compression model
Formula,
, whereinFor Gaussian random vector, K is three-dimensional
Tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is for estimating unknown parameter
OneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
Preferably, in the step a5, directly just can be by accordingly using employee job card brush cabinet door when thing is deposited in employee's leakage
Cabinet door open.
Preferably, in the step 2, the attendance application software is connected with the mobile phone camera, and the work attendance should
Include image comparison unit with software, described image comparison unit is used for two facial images of mobile phone camera continuous acquisition
Contrast to ensure that the facial image of continuous acquisition differs.
The invention has the advantages that locker integrates the function of storing and work attendance, employee while storing just
Work attendance can be accomplished, it is not necessary to be lined up into factory, improve employee enters factory's efficiency；And security staff can be reduced, save manpower money
Source；And storing work attendance is carried out by recognition of face in the range of work attendance, it can effectively ensure that employee shows up really, be not easy out
Existing cheating；Compressed Facial Image can be turned into by original image in mobile phone terminal by data compression model and data Restoration model
1/3 power, and effectively restored in work attendance server end or cloud server, substantially increase the biography of face image data
Defeated efficiency, so as to improve the efficiency of recognition of face.
Brief description of the drawings
Fig. 1 is a kind of structural representation of the storage cabinet system based on mobile phone terminal recognition of face of the present invention.
Embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by embodiment.
As shown in figure 1, a kind of storage cabinet system based on mobile phone terminal recognition of face, including the storing with central controller
Cabinet, the work attendance server on the locker, touch display screen, cell phone end, it is arranged on by metal detection door
First card reader, it is arranged on the second card reader and employee job card of storing part porch.
The locker includes multiple small cabinets, and each small cabinet is provided with the first electronic lock and the second electronic lock, institute
First electronic lock for stating small cabinet is opened by the central controller controls, second electronic lock of the small cabinet by
Employee's card control is opened.
The touch display screen is used for the quantity for showing the hollow small cabinet of the locker.
The work attendance server is provided with work attendance scope, and the cell phone end takes in the range of the work attendance with the work attendance
Business device wireless connection, the work attendance server are electrically connected with the central controller.Cell phone end can with work attendance server
Connected by the various wireless modes such as WIFI, bluetooth, if being connected by WIFI modes, then work attendance scope just passes through WIFI's
Distribution is configured.
The cell phone end is including the mobile phone camera for being used to gather employee's facial image and installation and operation in the shifting
The attendance application software started in generator terminal, the attendance application software are used to the facial image collected being converted into view data
After be sent to the work attendance server.
In order to ensure the recognition efficiency of facial image, i.e., in order to ensure work attendance efficiency, the face figure of mobile phone camera collection
As at least two.And the facial image of mobile phone camera continuous acquisition needs difference, no person is by multiple consecutive identical face figures
As being judged to one.Attendance application software is connected with mobile phone camera, and attendance application software includes image comparison unit, image comparison
Unit can contrast two facial images of mobile phone camera continuous acquisition, when the difference of two facial images is less than certain threshold
During value, then two facial images are judged to identical, and only leave and take a wherein facial image.
For example, mobile phone camera needs to gather three facial images, image 1 and image 2 are sequentially gathered, if figure
As 1 and the difference of image 2, then retain image 1 and image 2, continue to gather image 3, image 2 and image 3 are contrasted, if image
2 is identical with image 3, then deletes image 3, continues to gather new image 3, untill image 2 and the difference of image 3.
The work attendance server is used to receive described image data, and by described image data and is pre-stored in the work attendance clothes
View data in business device is contrasted to complete recognition of face, and the work attendance server is also brushed with the central controller, first
Card device, and the second card reader are electrically connected with.
Storage cabinet system can directly carry out recognition of face according to the scale of employee on work attendance server, will can also examine
Diligent server is connected with cloud server, carries out recognition of face on server beyond the clouds.I.e. described storage cabinet system also include with
The cloud server of the work attendance server connection, the cloud server are used to receive the described of the work attendance server transmission
View data, and described image data are contrasted with complete with the employee's human face image information being pre-stored in the cloud server
Into recognition of face, the cloud server also with the central controller, the first card reader and second swipe the card by cell phone end
Device is electrically connected with.
Recognition of face is carried out by cloud server and particularly may be divided into two kinds of situations, one kind is the work attendance server by three
Dimension tensor data are sent to cloud server, and the cloud server directly by the three-dimensional tensor data received and is pre-stored in cloud
View data in the server of end is compared to complete recognition of face.Another kind is the work attendance server by three-dimensional tensor data
Be sent to cloud server, the cloud server by three-dimensional tensor data convert into facial image, and by facial image with it is pre-
There is the facial image in cloud server to compare to complete recognition of face.It can specifically select according to the actual requirements.
The storage cabinet system also includes the standby human face image collecting device being arranged on the locker, described standby
Human face image collecting device is connected with the work attendance server, and the touch display screen is additionally operable to input the job number of employee to enable
The standby human face image collecting device.The employee not damaged with mobile phone or mobile phone, can be in the touch display screen on locker
Job number is inputted, starts standby human face image collecting device progress face recognition, the effect reached and cell phone after clicking on brush face
End is the same.
The storage cabinet system also includes the swiping card equipment being arranged on the locker, and the swiping card equipment is used to inquire about
The cabinet number for the small cabinet that corresponding employee is used.If employee forgets the cabinet cabinet number of oneself, employee job card brush storing can be used
The POS on cabinet, you can cabinet number corresponding to display.
The application method of storage cabinet system based on mobile phone terminal recognition of face, it is characterised in that：Comprise the following steps,
Step a1, employee enter storing part, locker of the selection with empty small cabinet, pass through cell phone in the range of work attendance
End and the work attendance server wireless connection on storage cabinet.Employee can directly check the residue of each locker by touch display screen
The quantity of small cabinet.
Step a2, the attendance application software on cell phone end is opened, is adopted by the mobile phone camera on cell phone end
Collect at least two face pictures, and being sent to after the facial image collected is converted into view data by attendance application software
The work attendance server.
Step a3, the work attendance server receive described image data, and by described image data with being pre-stored in described examine
View data in diligent server contrasts to complete recognition of face, and face recognition result is sent into central controller.Or
View data is sent to the cloud server by work attendance server described in person, the cloud server by described image data with
The employee's human face image information being pre-stored in the cloud server is contrasted to complete recognition of face, and by face recognition result
It is sent to central controller.
The step a2 is specifically, facial image is converted into three-dimensional tensor data by the attendance application software, and is passed through
Data compression model is compressed to three-dimensional tensor data to obtain compressed data.
The step a3 is specifically, compressed data solution is pressed into three-dimensional by the work attendance server by data recovery model
Data are measured, and three-dimensional tensor data and the view data being pre-stored in the work attendance server are contrasted to complete face knowledge
Not.
Or compressed data solution is pressed into three-dimensional tensor data by the work attendance server by data recovery model, and by three
Dimension tensor data are sent to cloud server.
The data compression model is, wherein, T* is the three of facial image conversion
Tensor data are tieed up,（X_1, X_2,…,X_n）For the Gauss tensor of the n same dimension randomly generated,<T*, X_i>For T* and
One of Gauss tensor X_i inner product, e_i are the generation error in transmission every time, and (y_1, y_2 ..y_n) takes for work attendance
The compressed data that business device receives.
It is by data compression modelCan be minimum into capacity by Compressed Facial Image
Data, data capacity be original image 1/3 power, for example, protoplast's face image capacity is 1000k, the packet after compression is only
10k。
Data compression model can form each facial image one group of compressed data, and the attendance application software can be with
Multigroup compressed data that multiple facial images of same work attendance person are formed is transmitted to the work attendance server, due to passing through
Face image data capacity after data compression model compression is minimum, and therefore, multiple facial images of a work attendance person form number
It is also very small according to compression inclusion quantity, so as to can simultaneous transmission multiple work attendance persons between the mobile phone and the work attendance server
Compressed Facial Image bag.
Assuming that in the case of the factor identical such as bandwidth, same period, the data between mobile phone and work attendance server pass
Defeated capacity is 10000k, and protoplast's face image capacity is 1000k, is 10k by the packet after data compression model compression, one
Employee needs two facial images.Then in the case where facial image does not compress, the same period, mobile phone and work attendance server
Between work attendance person's data transfer number be up to 5 people；And if using data compression model, then the same time, mobile phone is with examining
Work attendance person's data transfer number between diligent server can reach 500 people, therefore, by data compression model, substantially increase
The efficiency of recognition of face.
The work attendance server is used to compressed data solution is pressed into three-dimensional tensor data by data recovery model, in work attendance
(y_1, y_2 ..., the y_n) that receives, it is necessary to be reverted to tensor data T* by server.
Three-dimensional tensor data T* in data compression model is decomposed to obtain
, the X_i stated in data compression model is decomposed to obtain, to obtain the decomposing shape of data compression model
Formula,
, whereinFor Gaussian random vector, K is three-dimensional
Tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is for estimating unknown parameter
OneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
Estimate unknown parameter oneWith unknown parameter twoWhen, it is necessary to first inputValue, K value, and
Threshold level.Subsequently into initial step, experience moment tensor is built first, to tensorThreshold decomposition is carried out, to obtain
Initial estimate.Gradient updating step is subsequently entered, is calculated first,
Then calculating is passed throughObtain, wherein,For common threshold function table, and gradient
Renewal step is continuous the step of repeating.
Step a4, if recognition of face success, the central controller chooses corresponding with employee or any one chest
Body, the first electronic lock of corresponding small cabinet is opened, the cabinet number of corresponding small cabinet is returned by work attendance server or cloud server
Back to cell phone end, and by relevant work personnel, the operation information is sent to the first card reader, and enters next step.
If recognition of face is unsuccessful, the central controller returns recognition result by work attendance server or cloud server
Back to cell phone end, staff needs to use the card reader of employee job card brush second or carries out face's knowledge by face authentification device
Not to exit storing part to ask for help.
No matter whether staff carries out recognition of face and whether recognition of face succeeds, after staff enters storing part
It is required to carry out face recognition using the card reader of employee job card brush second or by face authentification device to exit storing part, wherein,
Attendance information between the face authentification device, first card reader, second card reader is shared.
The number of recognition of face can be set in step a4, such as twice, if all unsuccessful twice, by the face of the employee
Identification is judged to unsuccessful, and storage cabinet system can automatically save the face information of corresponding mobile phone and reach security center to prevent someone
Want to be mixed into producing line, while mobile phone terminal can remind the employee to exit storing part directly to go for supervisor's processing.Staff is leaving storage
Need to swipe the card or carry out face recognition during thing area, if swiped the card or the information of recognition of face is normal, staff can be normal
Leave storing part.If swipe the card or exception occurs in the information of recognition of face, such as, there is no the face for storing related personnel in system
Information, either the employee come into production district or the employee and repeatedly pass in and out storing part etc., then system meeting in a short time
Send alarm, the employee provisionally suspended by related personnel and interrogates and is handled accordingly, with prevent non-working person directly or
Person coordinates with interior employee to be mixed into production district and is caused damage to factory.
Step a5, staff are opened the second electronic lock of small cabinet by employee job card, deposit and take within a certain period of time
The cabinet door of small cabinet is closed after taking corresponding article, the central controller sends the operation information of relevant work personnel
To the first card reader., directly just can be by corresponding cabinet using employee job card brush cabinet door when thing is deposited in employee's leakage in the step a5
Door is opened, it is not necessary to is carried out recognition of face by cell phone end again and is opened cabinet door.
Step a6, staff enter production district using the card reader of employee job card brush first, and are used as member using the charge time
The work attendance time of work working, if the information of the first card reader institute brush employee job card was not received in step a4 or step a5,
Then the first card reader alert.Swiping the card has exception, and security personnel need to stop employee's admission, to prevent having rival or note
The people without fixed duties such as person is directly mixed in producing line without face recognition.
Step a7, when employee comes off duty, directly by employee job card brush, small cabinet can just be opened the cabinet door of small cabinet accordingly,
Deposit and close the cabinet door of small cabinet after corresponding article of taking, and using the card reader of employee job card brush second to go out storing part,
Employee can be brushed to the time of corresponding small cabinet as the next work attendance time, or using the time of employee's the second card reader of brush as
Come off duty the work attendance time.
The second electronic lock is also alternatively into key lock, or Fingerprint Lock, or the other forms such as coded lock, or even can in the application
Directly to save the second electronic lock, the cabinet door of small cabinet is directly opened by recognition of face.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the design of the present invention
It is defined with scope.On the premise of design concept of the present invention is not departed from, technical side of the ordinary people in the field to the present invention
The all variations and modifications that case is made, all should drop into protection scope of the present invention, the claimed technology contents of the present invention,
Through all recording in detail in the claims.
Claims (10)
1. the storage cabinet system based on mobile phone terminal recognition of face, it is characterised in that：Including the locker with central controller, peace
Work attendance server on the locker, touch display screen, cell phone end, the first brush being arranged on by metal detection door
Card device, it is arranged on the second card reader and employee job card of storing part porch；
The locker includes multiple small cabinets, and each small cabinet is provided with the first electronic lock and the second electronic lock, described small
First electronic lock of cabinet is opened by the central controller controls, and second electronic lock of the small cabinet is by described
Employee's card control is opened；
The touch display screen is used for the quantity for showing the hollow small cabinet of the locker；
The work attendance server is provided with work attendance scope, the cell phone end in the range of the work attendance with the work attendance server
Wireless connection, the work attendance server are electrically connected with the central controller；
The cell phone end is including the mobile phone camera for being used to gather employee's facial image and installation and operation in the mobile hand
Attendance application software in generator terminal, the attendance application software are used to after the facial image collected is converted into view data send out
Give the work attendance server；
The work attendance server is used to receive described image data, and by described image data and is pre-stored in the work attendance server
In view data contrast to complete recognition of face, the work attendance server also with the central controller, the first card reader,
And second card reader be electrically connected with.
2. the storage cabinet system according to claim 1 based on mobile phone terminal recognition of face, it is characterised in that：The locker
System also includes the cloud server being connected with the work attendance server, and the cloud server is used to receive the work attendance service
The described image data that device is sent, and described image data and the employee's facial image being pre-stored in the cloud server are believed
Breath is contrasted to complete recognition of face, the cloud server also with the central controller, cell phone end, the first card reader
And second card reader be electrically connected with.
3. the storage cabinet system according to claim 1 based on mobile phone terminal recognition of face, it is characterised in that：The locker
System also include be arranged on the locker on standby human face image collecting device, the standby human face image collecting device with
The work attendance server connection, the job number that the touch display screen is additionally operable to input employee are adopted with enabling the standby facial image
Acquisition means.
4. the storage cabinet system according to claim 1 based on mobile phone terminal recognition of face, it is characterised in that：The locker
System also includes the swiping card equipment being arranged on the locker, and the swiping card equipment is used to inquire about what corresponding employee was used
The cabinet number of small cabinet.
5. the application method of the storage cabinet system based on mobile phone terminal recognition of face, it is characterised in that：Comprise the following steps,
Step a1, employee enter storing part, locker of the selection with empty small cabinet, pass through cell phone in the range of work attendance
End and the work attendance server wireless connection on storage cabinet；
Step a2, open the attendance application software on cell phone end, by the mobile phone camera on cell phone end gather to
Few two face pictures, and by attendance application software by the facial image collected be converted into being sent to after view data described
Work attendance server；
Step a3, the work attendance server receives described image data, and by described image data and is pre-stored in the work attendance clothes
View data in business device is contrasted to complete recognition of face, and face recognition result is sent into central controller；
Or view data is sent to the cloud server by the work attendance server, the cloud server is by described image
Data are contrasted to complete recognition of face with the employee's human face image information being pre-stored in the cloud server, and face is known
Other result is sent to central controller；
Step a4, if recognition of face success, the central controller chooses corresponding with employee or any one small cabinet, beats
The first electronic lock of corresponding small cabinet is opened, the cabinet number of corresponding small cabinet is returned into shifting by work attendance server or cloud server
Start generator terminal, and the operation information is sent to the first card reader by relevant work personnel, and enter next step；
If recognition of face is unsuccessful, the central controller returns to recognition result by work attendance server or cloud server
Cell phone end, staff need to use the card reader of employee job card brush second or by face authentification device carry out face recognition with
Storing part is exited to ask for help；
No matter whether staff carries out recognition of face and whether recognition of face succeeds, and staff is both needed to after entering storing part
Face recognition is carried out to exit storing part using the card reader of employee job card brush second or by face authentification device, wherein, it is described
Attendance information between face authentification device, first card reader, second card reader is shared；
Step a5, staff open the second electronic lock of small cabinet by employee job card within a certain period of time, deposit and phase of taking
The cabinet door of small cabinet is closed after the article answered, the operation information of relevant work personnel is sent to by the central controller
One card reader；
Step a6, staff enter production district using the card reader of employee job card brush first, and using the charge time as employee on
The work attendance time of class；If the information of the first card reader institute brush employee job card was not received in step a4 or step a5, the
One card reader alert；
Step a7, when employee comes off duty, directly by employee job card brush, small cabinet can just be opened the cabinet door of small cabinet accordingly, storage
And close the cabinet door of small cabinet after corresponding article of taking, can be with and using the card reader of employee job card brush second to go out storing part
The time that employee is brushed to corresponding small cabinet brushes the time of the second card reader as next as the next work attendance time, or using employee
The work attendance time.
6. the application method of the storage cabinet system according to claim 5 based on mobile phone terminal recognition of face, it is characterised in that：
The step a2 is specifically, facial image is converted into three-dimensional tensor data by the attendance application software, and passes through data compression
Model is compressed to three-dimensional tensor data to obtain compressed data；
The step a3 is specifically, compressed data solution is pressed into three-dimensional tensor number by the work attendance server by data recovery model
According to, and three-dimensional tensor data and the view data being pre-stored in the work attendance server are contrasted to complete recognition of face；
Or compressed data solution is pressed into three-dimensional tensor data by the work attendance server by data recovery model, and three-dimensional is opened
Amount data are sent to cloud server.
7. the application method of the storage cabinet system according to claim 6 based on mobile phone terminal recognition of face, it is characterised in that：
The data compression model is, wherein, T* is the three-dimensional tensor number of facial image conversion
According to,（X_1, X_2,…,X_n）For the Gauss tensor of the n same dimension randomly generated,<T*, X_i>For T* and one of them
Gauss tensor X_i inner product, e_i are the generation error in transmission every time, and (y_1, y_2 ..y_n) is that work attendance server receives
Compressed data.
8. the application method of the storage cabinet system according to claim 7 based on mobile phone terminal recognition of face, it is characterised in that：
Three-dimensional tensor data T* in data compression model is decomposed to obtain, number will be stated
Decompose to obtain according to the X_i in compact model, to obtain the decomposed form of data compression model,
, whereinFor Gaussian random vector, K is three-dimensional
Tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is for estimating unknown parameter
OneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
9. the application method of the storage cabinet system according to claim 5 based on mobile phone terminal recognition of face, it is characterised in that：
In the step a5, when thing is deposited in employee's leakage, directly corresponding cabinet door can just be opened using employee job card brush cabinet door.
10. the application method of the storage cabinet system according to claim 1 based on mobile phone terminal recognition of face, its feature exist
In：In the step 2, the attendance application software is connected with the mobile phone camera, and the attendance application software includes image
Comparison unit, described image comparison unit are used to contrast two facial images of mobile phone camera continuous acquisition to ensure to connect
The facial image of continuous collection differs.
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